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Sosialisasi Penerapan Teknologi Monitoring Tanaman Hidroponik di PPMI Shohwatul Is'ad Kabupaten Pangkep Tahir, Zulkifli; Ilham, Amil Ahmad; Niswar, Muhammad; Adnan, Adnan; Zainuddin, Zahir; Paundu, Ady Wahyudi; Wardi, Wardi; Aswad, Iqra; Imran Oemar, Muhammad Alief Fahdal; Marindah Wardhani, Tyanita Puti
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 2 (2023): Let us Collaborate for Community Issues
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i2.428

Abstract

Hydroponic plant cultivation refers to a method of cultivating plants that eliminates the use of soil as a growth medium. The present system possesses several notable benefits, including its ability to operate within a limited land area and the superior performance of hydroponic cultivation compared to conventional growing methods. This approach aligns with the concepts of the Sustainable Development Goals (SDGs), particularly SDG 2, which aims to ensure global food security. This public service aims to provide an Internet of Things (IoT)-enabled hydroponic production system that utilizes computer vision technology to regulate the provision of nutrients to plants based on their development rate. This technique is applicable to those in the general population who possess restricted land resources. Further, we aim to engage in community socialization around the hydroponic system while also offering insights into the newest advancements in information system technology applicable to hydroponics. We facilitate the acquisition of knowledge and skills within the community as a whole, with a specific focus on the students at PPMI Shohwatul Is'ad to equip them with the necessary expertise to effectively implement hydroponic plants and the latest information system technology for the purpose of monitoring.
Evaluasi Algoritma Klasifikasi dengan Berbagai Metode Seleksi Fitur untuk Mendeteksi Aktivitas Trojan Rijal, Muhammad; Ilham, Amil Ahmad; Paundu, Ady Wahyudi
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4842

Abstract

- Viruses are malicious programs that can be harmful. One of the most dangerous viruses is the trojan virus, where the trojan virus hides on the user's device without being aware of its existence. Trojan viruses can be very difficult to spot because they hide on network devices and disguise themselves as part of the device. However, when a network device is infected by a trojan virus attack, the activities that occur on the network will be different from usual activities. In network activity, there are various parameters that cause classification to take longer to predict. In this study, various comparisons of feature reduction algorithms between Coefficient Correlation, Information Gain, PCA, and LDA were carried out and tested the combination of classification model algorithms (Random Forest, Decision Tree, KNN, Naïve Bayes, AdaBoost) to detect the best trojan activity on the internet network. faster to increase security against trojan viruses. The results of the study show that the classification with maximum accuracy with the best time is obtained by a combination of Coefficient Correlation, Information Gain, and PCA using the Decision Tree classification, using a combination of feature selection and classification methods obtained 99% accuracy and prediction time of 0.0033 seconds.
Socialization of Buginese Language E-learning Application with Lontara Script Translation Feature at SMPN 2 Pangkajene Nurtanio, Ingrid; Yohannes, Christoforus; Bustamin, Anugrayani; Mokobombang, Novy Nur R A; Areni, Intan Sari; Tahir, Zulkifli; Adnan, Adnan; Marindah, Tyanita Puti; Paundu, Ady Wahyudi; Nurdin, Arliyanti; Musyfirah, Kamtina; Hikmah, Nur; Mahdaniar, Mahdaniar
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 7 No 2 (2024): Kolaborasi yang Kuat untuk Kekuatan Kemasyarakatan
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v7i2.528

Abstract

Preservation of indigenous languages, especially Bugis with Lontara script, is an important challenge in the digital era. In school activities, mastery and learning of local languages ​​are associated with one subject, namely Muatan Lokal. However, the main problem that is often encountered is the use of indigenous languages ​​that are increasingly minimally socialized, thus reducing students' interest and motivation in learning this local language, especially in SMP Negeri 2 Pangkajene Class VII. This community service aims to be a forum for socializing research results in the Department of Informatics and Electrical Engineering, Hasanuddin University in the form of an E-learning application that facilitates interactive learning of Bugis with Lontara script. In addition, this activity is expected to contribute to the advancement of knowledge and technology by providing E-learning tools, in the form of mobile applications, to support learning both at school and at home. The process of introducing this application involves quantitative analysis in the form of an initial survey (pre-test) which includes the user experience (in this case students) when learning Bugis and then ends with a final survey (post-test) and System Usability Scale (SUS) testing to determine the student's experience when using this Bugis language application. The results obtained indicate the formation of Bugis language learning motivation after participants are familiar with this E-learning application with an increase of 52% from 32% less motivated to 84% very motivated. In addition, this Bugis language E-learning application also reached an acceptable level based on SUS with a value of 74.